Jonathan de Andrade Silva

Orcid: 0000-0002-8274-2707

According to our database1, Jonathan de Andrade Silva authored at least 32 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Novelty detection for multi-label stream classification under extreme verification latency.
Appl. Soft Comput., July, 2023

2022
Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery.
Remote. Sens., 2022

Counting and locating high-density objects using convolutional neural network.
Expert Syst. Appl., 2022

Automatic segmentation of cattle rib-eye area in ultrasound images using the UNet++ deep neural network.
Comput. Electron. Agric., 2022

Line-based deep learning method for tree branch detection from digital images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images.
Remote. Sens., 2021

ATSS Deep Learning-Based Approach to Detect Apple Fruits.
Remote. Sens., 2021

Semantic Segmentation with Labeling Uncertainty and Class Imbalance.
CoRR, 2021

A review on deep learning in UAV remote sensing.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Assessment of CNN-Based Methods for Single Tree Detection on High-Resolution RGB Images in Urban Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Integration of Photogrammetry and Deep Learning in Earth Observation Applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Storm-Drain and Manhole Detection Using the RetinaNet Method.
Sensors, 2020

Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method.
Sensors, 2020

2019
Fractal dimension of bag-of-visual words.
Pattern Anal. Appl., 2019

Pruned Sets for Multi-Label Stream Classification without True Labels.
Proceedings of the International Joint Conference on Neural Networks, 2019

Novelty Detection for Multi-Label Stream Classification.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Scalable Batch Stream Clustering with k Estimation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An evolutionary algorithm for clustering data streams with a variable number of clusters.
Expert Syst. Appl., 2017

Scalable Data Stream Clustering with k Estimation.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
A Support System for Clustering Data Streams with a Variable Number of Clusters.
ACM Trans. Auton. Adapt. Syst., 2016

2015
Clustering data streams with automatic estimation of the number of cluster.
PhD thesis, 2015

2013
An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks.
Data Knowl. Eng., 2013

Data stream clustering: A survey.
ACM Comput. Surv., 2013

2011
Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Mice and larvae tracking using a particle filter with an auto-adjustable observation model.
Pattern Recognit. Lett., 2010

Comparison of Shape Descriptors for Mice Behavior Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

A Rotation Invariant Face Recognition Method Based on Complex Network.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2007
Multiple Mice Tracking using a Combination of Particle Filter and K-Means.
Proceedings of the SIBGRAPI 2007, 2007

Hidden Markov Models Applied to Snakes Behavior Identification.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007


  Loading...